Overview

Dataset statistics

Number of variables7
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory61.7 B

Variable types

Categorical3
Numeric1
Text2
DateTime1

Dataset

Description광주광역시 동구 내 지정 문화재 정보로 구분(보물, 천연기념물, 유형문화재, 기념물, 문화재자료, 등록문화재), 지정번호, 문화재 지정 명칭, 소재지도로명주소, 지정별(국가, 시지정), 문화재 지정일자에 관한 세부내역 제공
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15010915/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
지정번호 is highly overall correlated with 지정별High correlation
구분 is highly overall correlated with 지정별High correlation
지정별 is highly overall correlated with 지정번호 and 1 other fieldsHigh correlation
지정명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:19:12.397922
Analysis finished2023-12-12 16:19:12.989629
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
유형문화재
6 
등록문화재
6 
기념물
5 
보물
4 
문화재자료
4 
Other values (2)
3 

Length

Max length5
Median length5
Mean length4.2142857
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row보물
2nd row보물
3rd row보물
4th row보물
5th row천연기념물

Common Values

ValueCountFrequency (%)
유형문화재 6
21.4%
등록문화재 6
21.4%
기념물 5
17.9%
보물 4
14.3%
문화재자료 4
14.3%
무형문화재 2
 
7.1%
천연기념물 1
 
3.6%

Length

2023-12-13T01:19:13.067953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:13.190950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 6
21.4%
등록문화재 6
21.4%
기념물 5
17.9%
보물 4
14.3%
문화재자료 4
14.3%
무형문화재 2
 
7.1%
천연기념물 1
 
3.6%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.07143
Minimum1
Maximum1507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T01:19:13.321789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q18.25
median16.5
Q3115.25
95-th percentile683.2
Maximum1507
Range1506
Interquartile range (IQR)107

Descriptive statistics

Standard deviation344.60723
Coefficient of variation (CV)1.9137252
Kurtosis7.4609773
Mean180.07143
Median Absolute Deviation (MAD)11.5
Skewness2.5764183
Sum5042
Variance118754.14
MonotonicityNot monotonic
2023-12-13T01:19:13.462175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 2
 
7.1%
5 2
 
7.1%
6 2
 
7.1%
13 2
 
7.1%
14 2
 
7.1%
110 1
 
3.6%
9 1
 
3.6%
728 1
 
3.6%
590 1
 
3.6%
589 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
1 2
7.1%
2 1
3.6%
5 2
7.1%
6 2
7.1%
9 1
3.6%
12 1
3.6%
13 2
7.1%
14 2
7.1%
16 1
3.6%
17 1
3.6%
ValueCountFrequency (%)
1507 1
3.6%
728 1
3.6%
600 1
3.6%
590 1
3.6%
589 1
3.6%
465 1
3.6%
131 1
3.6%
110 1
3.6%
94 1
3.6%
29 1
3.6%

지정명칭
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T01:19:13.661122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length9.8214286
Min length3

Characters and Unicode

Total characters275
Distinct characters99
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row광주지산동오층석탑
2nd row광주 증심사 철조비로자나불좌상
3rd row광주 약사암 석조여래좌상
4th row광주자운사 목조아미타여래좌상 및 복장유물
5th row무등산 주상절리대
ValueCountFrequency (%)
광주 7
 
12.5%
본관 4
 
7.1%
구 3
 
5.4%
조선대학교 3
 
5.4%
의학대학 2
 
3.6%
증심사 2
 
3.6%
약사암 2
 
3.6%
부속중학교 1
 
1.8%
교사 1
 
1.8%
본관.별관.체육관 1
 
1.8%
Other values (30) 30
53.6%
2023-12-13T01:19:13.985155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
10.2%
주 13
 
4.7%
학 13
 
4.7%
광 12
 
4.4%
사 10
 
3.6%
교 8
 
2.9%
관 7
 
2.5%
석 7
 
2.5%
대 7
 
2.5%
조 7
 
2.5%
Other values (89) 163
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
88.0%
Space Separator 28
 
10.2%
Other Punctuation 2
 
0.7%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
5.4%
학 13
 
5.4%
광 12
 
5.0%
사 10
 
4.1%
교 8
 
3.3%
관 7
 
2.9%
석 7
 
2.9%
대 7
 
2.9%
조 7
 
2.9%
상 6
 
2.5%
Other values (84) 152
62.8%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
88.0%
Common 33
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
5.4%
학 13
 
5.4%
광 12
 
5.0%
사 10
 
4.1%
교 8
 
3.3%
관 7
 
2.9%
석 7
 
2.9%
대 7
 
2.9%
조 7
 
2.9%
상 6
 
2.5%
Other values (84) 152
62.8%
Common
ValueCountFrequency (%)
28
84.8%
. 2
 
6.1%
) 1
 
3.0%
( 1
 
3.0%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
88.0%
ASCII 33
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
84.8%
. 2
 
6.1%
) 1
 
3.0%
( 1
 
3.0%
3 1
 
3.0%
Hangul
ValueCountFrequency (%)
주 13
 
5.4%
학 13
 
5.4%
광 12
 
5.0%
사 10
 
4.1%
교 8
 
3.3%
관 7
 
2.9%
석 7
 
2.9%
대 7
 
2.9%
조 7
 
2.9%
상 6
 
2.5%
Other values (84) 152
62.8%

소재지도로명주소
Text

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T01:19:14.174486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.321429
Min length16

Characters and Unicode

Total characters597
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)53.6%

Sample

1st row광주광역시 동구 지산동 448-4
2nd row광주광역시 동구 증심사길177(운림동)
3rd row광주광역시 동구 증심사길160번길89(운림동)
4th row광주광역시 동구 지호로106번길8-8(지산동)
5th row광주광역시 동구 용연동 산354-1
ValueCountFrequency (%)
광주광역시 28
28.6%
동구 27
27.6%
증심사길177(운림동 5
 
5.1%
문화전당로 4
 
4.1%
38(광산동 4
 
4.1%
309(서석동 3
 
3.1%
증심사길160번길89(운림동 2
 
2.0%
필문대로 2
 
2.0%
동구필문대로 1
 
1.0%
산18 1
 
1.0%
Other values (21) 21
21.4%
2023-12-13T01:19:14.766728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
11.7%
광 60
 
10.1%
동 56
 
9.4%
역 28
 
4.7%
시 28
 
4.7%
구 28
 
4.7%
주 28
 
4.7%
) 24
 
4.0%
( 24
 
4.0%
1 18
 
3.0%
Other values (40) 233
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
64.2%
Decimal Number 90
 
15.1%
Space Separator 70
 
11.7%
Close Punctuation 24
 
4.0%
Open Punctuation 24
 
4.0%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 60
15.7%
동 56
14.6%
역 28
 
7.3%
시 28
 
7.3%
구 28
 
7.3%
주 28
 
7.3%
길 15
 
3.9%
로 14
 
3.7%
산 11
 
2.9%
운 10
 
2.6%
Other values (26) 105
27.4%
Decimal Number
ValueCountFrequency (%)
1 18
20.0%
8 14
15.6%
7 12
13.3%
0 9
10.0%
3 8
8.9%
2 7
 
7.8%
4 6
 
6.7%
9 6
 
6.7%
6 6
 
6.7%
5 4
 
4.4%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
64.2%
Common 214
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 60
15.7%
동 56
14.6%
역 28
 
7.3%
시 28
 
7.3%
구 28
 
7.3%
주 28
 
7.3%
길 15
 
3.9%
로 14
 
3.7%
산 11
 
2.9%
운 10
 
2.6%
Other values (26) 105
27.4%
Common
ValueCountFrequency (%)
70
32.7%
) 24
 
11.2%
( 24
 
11.2%
1 18
 
8.4%
8 14
 
6.5%
7 12
 
5.6%
0 9
 
4.2%
3 8
 
3.7%
2 7
 
3.3%
4 6
 
2.8%
Other values (4) 22
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
64.2%
ASCII 214
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
32.7%
) 24
 
11.2%
( 24
 
11.2%
1 18
 
8.4%
8 14
 
6.5%
7 12
 
5.6%
0 9
 
4.2%
3 8
 
3.7%
2 7
 
3.3%
4 6
 
2.8%
Other values (4) 22
 
10.3%
Hangul
ValueCountFrequency (%)
광 60
15.7%
동 56
14.6%
역 28
 
7.3%
시 28
 
7.3%
구 28
 
7.3%
주 28
 
7.3%
길 15
 
3.9%
로 14
 
3.7%
산 11
 
2.9%
운 10
 
2.6%
Other values (26) 105
27.4%

지정별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
시지정
17 
국가지정
11 

Length

Max length4
Median length3
Mean length3.3928571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가지정
2nd row국가지정
3rd row국가지정
4th row국가지정
5th row국가지정

Common Values

ValueCountFrequency (%)
시지정 17
60.7%
국가지정 11
39.3%

Length

2023-12-13T01:19:14.909785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:15.033721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시지정 17
60.7%
국가지정 11
39.3%

지정일자
Date

Distinct20
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1963-01-21 00:00:00
Maximum2018-08-06 00:00:00
2023-12-13T01:19:15.124925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:15.276489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-09-13
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-13
2nd row2023-09-13
3rd row2023-09-13
4th row2023-09-13
5th row2023-09-13

Common Values

ValueCountFrequency (%)
2023-09-13 28
100.0%

Length

2023-12-13T01:19:15.424712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:15.520478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-13 28
100.0%

Interactions

2023-12-13T01:19:12.680041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:19:15.579941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지정번호지정명칭소재지도로명주소지정별지정일자
구분1.0000.3451.0000.8631.0000.968
지정번호0.3451.0001.0000.9490.8011.000
지정명칭1.0001.0001.0001.0001.0001.000
소재지도로명주소0.8630.9491.0001.0000.4220.793
지정별1.0000.8011.0000.4221.0001.000
지정일자0.9681.0001.0000.7931.0001.000
2023-12-13T01:19:15.708543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정별구분
지정별1.0000.899
구분0.8991.000
2023-12-13T01:19:15.804678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호구분지정별
지정번호1.0000.2080.568
구분0.2081.0000.899
지정별0.5680.8991.000

Missing values

2023-12-13T01:19:12.811886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:19:12.939452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분지정번호지정명칭소재지도로명주소지정별지정일자데이터기준일자
0보물110광주지산동오층석탑광주광역시 동구 지산동 448-4국가지정1963-01-212023-09-13
1보물131광주 증심사 철조비로자나불좌상광주광역시 동구 증심사길177(운림동)국가지정1963-01-212023-09-13
2보물600광주 약사암 석조여래좌상광주광역시 동구 증심사길160번길89(운림동)국가지정1976-08-042023-09-13
3보물1507광주자운사 목조아미타여래좌상 및 복장유물광주광역시 동구 지호로106번길8-8(지산동)국가지정2006-12-292023-09-13
4천연기념물465무등산 주상절리대광주광역시 동구 용연동 산354-1국가지정2005-12-162023-09-13
5유형문화재1증심사3층석탑광주광역시 동구 증심사길177(운림동)시지정1972-01-292023-09-13
6유형문화재5재명석등광주광역시 동구 문화전당로 38(광산동)시지정1974-12-242023-09-13
7유형문화재6전남도청 회의실광주광역시 동구 문화전당로 38(광산동)시지정1981-10-202023-09-13
8유형문화재13증심사오백전광주광역시 동구 증심사길177(운림동)시지정1989-03-202023-09-13
9유형문화재14증심사석조보살입상광주광역시 동구 증심사길177(운림동)시지정1989-03-202023-09-13
구분지정번호지정명칭소재지도로명주소지정별지정일자데이터기준일자
18문화재자료1증심사광주광역시 동구 증심사길177(운림동)시지정1984-02-172023-09-13
19문화재자료2약사암광주광역시 동구 증심사길160번길89(운림동)시지정1984-02-172023-09-13
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